Process Analyst

About Kerry

Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment.

About the role

We are seeking an experienced Process Analyst to work as the data and analytics interface for Kerry’s Enzyme Process Technology (PT) Team. Embedded within the wider PT team, over three production sites, the role will focus on curating, structuring, analysing, and visualising process data across the entirety of the microbial enzyme production life cycle.

The successful candidate will partner closely with the PT teams on site to curate, structure and visualise manufacturing and process data from Kerry’s core systems (including SAP, EPM/MES platforms, SCADA systems and local Excel based datasets), turning complex and fragmented data streams into clear insights that support yield, recovery, productivity, process robustness and facilitate operational excellence.

Key responsibilities

Data Curation & Integration:

• Extract, clean and harmonise process and manufacturing data from:
• SAP (process orders, batch data, confirmations, material movements, yields)
• EPM / MES / LIMS / SCADA systems
• Site level Excel trackers and historical datasets
• Resolve inconsistencies between system data and off-line data repositories
• Improve transparency and traceability of process performance data
• Understand how SAP master data structures influence process orders, confirmations, yields, and performance reporting

Process & Manufacturing Analytics

• Analyse and trend process performance data across the end-to-end enzyme production process, including Inoculum preparation and cultivation; Fermentation metrics and profiles; and Downstream operational parameters and yields
• Support PT with robust analysis of key performance indices including yield and rolled throughput yield; recovery of unit operations; Enzyme titre and productivity; Losses, variability and deviation impacts
• Provide analytical support to process optimisation initiatives and continuous improvement projects
• Work with PAT and IoT-enabled sensors, historians, and data acquisition systems to contextualise high-frequency process data alongside batch and transactional datasets

Data Architecture:

• Design and implement practical data frameworks and architecture to improve data accessibility and data reliability
• Reduce manual data handling by improving integration between SAP and reporting tools, while standardising data flows and calculation logic
• Work with each respective production site to align on data architecture and tools
• Clearly document datasets, assumptions and calculations used in PT reporting

Visualisation & Reporting:

• Translate complex, multivariate datasets into clear, decision focused visuals, using Power BI dashboards for site, Excel based tools, PowerPoint etc
• Develop standardised visual and reporting templates to illustrate end-to-end process data

Collaboration within Process Technology

• Operate as a core member of the Process Technology team to help improve transparency and accessible to process data
• Leverage expertise from the PT teams to interpret biological data and benchmark expected process outcomes
• Work with the wide team to help coordinate how data may be collected, stored and modelled from operational process data and equipment

Qualifications and skills

• Bachelor’s degree in Data Science, Engineering, Science, Biotechnology, or related field with a MSc or PhD preferred
• Experience applying data engineering principles (data pipelines, transformations, data quality controls) in a manufacturing or process environment with complex and various data streams
• Solid industrial process/data analytics experience, operating at a moderate to advanced level
• Advanced capability in Power BI, Excel, PowerPoint and other related platforms is a necessity
• Experience in working with SAP and managing its datasets is a strong advantage
• A proven understanding of data modelling, architecture and scalable analytical frameworks
• Strong interpersonal and communication skills, with the ability to work within multidisciplinary teams and influence stakeholders
• Advanced English proficiency

Why Kerry?

In Kerry we benefit from the knowledge of our colleagues who bring a diverse range of cultures, backgrounds, lifestyles, and experiences. One team fostering an inclusive culture that, above all, inspires food and nourishes life. One culture where everyone brings their unique perspectives and experiences to help make us better, together. We are committed to nurturing an environment of positivity and inclusiveness, where everyone can be at their best, both personally and professionally.

Our recruitment, selection and assessment process are based on the skills and competencies of the specific roles and based entirely on merit. We are committed to and value Diversity and Inclusion in all recruitment processes within Kerry and do not discriminate based on gender, race, class, economic status, ethnic background, sexual orientation, age, political beliefs, veteran status, marital status or any other protected characteristic.

Please note: We do not accept CVs or candidate profiles from recruitment agencies where Kerry terms of business have not been signed. Additionally, we will not consider or agree to payment of any recruiter fee under these circumstances. This also applies to CVs or candidate profiles sent directly to any Kerry Hiring Managers.